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Durham University

Academic Skills Programme

Maths and Stats Lab Tutors

Andrés Olivares del Campo is a PhD student working on particle physics at the Institute of Particle Physics Phenomenology. His main research interest is to study the connection between neutrinos and dark matter particles. He got his BSc in Physics with Theoretical Physics at Imperial College London and graduated with a Masters in Applied Mathematics from the University of Cambridge.
Since the beginning of his undergraduate, he has been working with different companies and charities on Maths, Physics and Spanish tutoring in large and 1-1 groups. During the last year, he has focused on online Maths and Physics tutoring for high school students and has participated as a workshop assistant for 2 different modules within the Physics department. In addition, Andrés is a College mentor and likes to participate in outreach events. He is also a member of the Judo and boxing clubs.


Jonathan Owen is a mathematician and statistician who holds a Master of Mathematics degree from Durham University. He is currently in the second year of his PhD on Bayesian uncertainty analysis and decision support for complex models of physical systems in the Department of Mathematical Sciences.

Having studied a variety of maths and statistics modules, Jonathan is suitably positioned to assist with a wide range of mathematical and statistical topics. He has a particular interest in Bayesian statistics, likelihood and statistical modelling, as well as prior experience working with time series and the use of the R programming language. In addition, Jonathan is happy to advise on hypothesis testing and probability.

Angela Papazian is a psychologist. Her previous projects involve memory research and ERP (Event-Related-Potentials technique) measurements of visual working memory. Angela enjoys helping others engage with Research Methods and Statistics, and she can guide other students on how to use statistical software such as SPSS and SAS programming.


Yung-Lin Wang is a PhD student studying economics. He graduated with a masters in economics department from the University of Edinburgh. The subject of his doctorate is economic growth. He particularly interested in human capital, applying personality traits in overlapping generations model.

Yung-Lin is also taking departmental tutorials this year, on the MSc Finance – Financial Modelling and Business Forecasting (Durham). He also provides dissertation consulting support and software support for Business School master students.



Changhyun Park is a macroeconomist, studying for a Ph.D. in Economics. His research area is on labour market and inequality. And he graduated with a MSc in Economics from UCL. He had worked for central bank of south Korea as an economist.

He has been taking departmental seminars from 2016/2017 academic year, on two MSc modules: Advanced Macroeconomics and International Finance Asset Pricing. He received the best PhD student teacher award in 2017 from Business School.

Changhyun can advise on many aspects of econometrics, research methods as well as general mathematics. He can also guide students on how to use data analysis packages such as E-views, STATA, and Dynare.


Atreya Acharyya is an astrophysicist who holds a Masters degree in Physics and Astronomy from Durham University. He is currently in his second year studying towards a PhD in Gamma ray astronomy. He is generally playing around with data from NASA satellites and looking for possible undiscovered galaxies in the universe. He also visits local schools where he does planetarium shows, is a mentor to undergraduates at University College and loves watching football.

A large part of his five years in Durham have involved taking courses in mathematics and applying them in his work. Atreya is happy to provide help on a wide range of mathematical and physics concepts including elementary and advanced calculus, linear algebra, working with complex numbers as well as implementation of these and more in python and other programming languages.


Mohin Uddin is a mathematician, currently studying for a Masters in Mathematical Sciences at Durham University. Having completed his Bachelors in Mathematics at Lancaster University, he has studied a vast number of modules from topics in Pure Mathematics such as Complex Analysis, Groups & Rings and Combinatorics. He also has experience in many Statistics and Probability modules such as Likelihood Inference.

As he has experience in many areas of Pure Mathematics and Statistics, if students need assistance with understanding complex concepts or with difficult calculus, Mohin is well equipped to provide support. Moreover, he can help students with their questions on the programming language LaTeX.


Leo Cuspinera-Contreras is a PhD student in Physics studying possible phase transitions of the universe enhanced by black holes in higher (more than 4) dimensional models of our universe. He did his BSc in Physics back in Mexico and an MSc in Particles, Strings and Cosmology here in Durham. He enjoys teaching and has been doing it for many years but started as a tutor at the beginning of his PhD, teaching many different courses both in Physics and Maths. He enjoys dancing, hiking and photography.


Pradosh Bista completed his undergraduate degree in BSc. Mathematics with Finance from the University of Brighton. Currently, he is doing his masters in Mathematical Sciences at Durham University. His module choices include Partial Differential Equations, Mathematical Finance, Quantum Mechanics, General Relativity, Numerical Differential Equations and Differential Geometry. He is most interested in the application of Mathematics in different fields. Having been a tutor in his former university as well, he is experienced with helping students with problems they are having with their course. He can also assist students with Latex typesetting and has a good knowledge of SQL, Visual Basics and Matlab.


Robin Watson is a PhD student in the Anthropology department studying the evolution of cooperative behaviour. He has a masters degree in Anthropology research methods and an undergraduate BSc in Psychology. Throughout these degrees he has studied several modules covering applied statistics and how they can be used in the context of hypothesis testing. He has previously been involved in teaching for a first-year module in the Anthropology department.

Robin has experience in SPSS and R for analysing data and conducting statistical tests and has recently started learning Python. He is also happy to discuss the designing of experiments in the social sciences and plan how the resulting data might be analysed. He also has experience using Bayesian statistics in R utilising the rethinking package.